A novel Hybrid Particle Element Method (HPEM) for large deformation analysis in solid mechanics

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2024-11-14 DOI:10.1016/j.cma.2024.117530
Huangcheng Fang, Zhen-Yu Yin
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Abstract

This paper develops a novel Hybrid Particle Element Method (HPEM) to model large deformation problems in solid mechanics, combining the strengths of both mesh-based and particle approaches. In the proposed method, the computational domain is discretized into two independent components: a set of finite elements and a set of particles. The finite elements serve as a temporary tool to compute the spatial derivatives of field variables, while the particles are used for storing history variables and establishing equilibrium equations. Spatial derivatives of field variables on particles are obtained by averaging the surrounding Gauss points of finite elements with a smoothing function. When the finite element mesh becomes distorted, it can be arbitrarily adjusted or completely regenerated. No global variable mapping is required when mesh adjustment or regeneration is performed, thus avoiding irreversible interpolation errors. The proposed method is validated through six typical examples, assessing its accuracy, efficiency, and robustness. The superior performance of the proposed method is comprehensively demonstrated through comparisons with several existing numerical methods.
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用于固体力学大变形分析的新型混合粒子元素法 (HPEM)
本文开发了一种新颖的混合粒子元素法(HPEM)来模拟固体力学中的大变形问题,该方法结合了网格法和粒子法的优点。在所提出的方法中,计算域被离散为两个独立的部分:一组有限元和一组粒子。有限元是计算场变量空间导数的临时工具,而粒子则用于存储历史变量和建立平衡方程。粒子上场变量的空间导数是通过对有限元周围的高斯点用平滑函数求平均值得到的。当有限元网格发生扭曲时,可以对其进行任意调整或完全再生。在进行网格调整或再生时,不需要全局变量映射,从而避免了不可逆的插值误差。通过六个典型实例对所提出的方法进行了验证,评估了其准确性、效率和鲁棒性。通过与几种现有数值方法的比较,全面展示了所提方法的优越性能。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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